bench: JSPI vs asyncify A/B — harness + results
Adds pcbnew-large-perf.spec.ts (PERF_LARGE-gated: repeated cold loads,
vme-wren/jetson opens, rAF + distinct-glcanvas-frame FPS under throttle,
wasm/JS heap checkpoints), fetchIntoMemfs + openAndWait/sampleMemory/
measureFpsDetailed perf-utils, dual 9.99+10.0 config seeding in pcbnew.html
so foreign-branch builds boot wizard-free, and the full benchmark report +
raw data under docs/features/async/migration-evidence/.
Headlines: wasm 94 vs 113 MB raw (18.6 vs 36.7 MB gzip), post-link tail
1.6 s/49 MB vs 63 s/6.1 GB per build, cold load −40 %, 27.7 MB board open
−45 %, real redraws +68 % at 4× throttle, boot heap −31 %.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016X9eh1s5sTx1o9Em9KBuwR
2026-08-14 11:53:06 +02:00
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# JSPI vs Asyncify: editor benchmark (2026-08-14)
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A/B benchmark of the `kicad_editor` app built two ways:
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- **Arm A — asyncify**: `pcbjam` @ `29c61b8` (branch `staging`), emscripten **4.0.2**,
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`-sASYNCIFY=1` + host post-link pipeline (finalize → hoist-cpp-catches →
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`wasm-opt --asyncify` → `wasm-opt -O1`, Binaryen fork v130).
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- **Arm B — JSPI**: worktree @ `9c475a8` (branch `experiment/jspi`), emscripten **6.0.6**,
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`-sJSPI`, single-phase link, no post-link transform (only the ~1 s env-shim patch).
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**Stated confound, up front:** the two arms differ by emscripten major (4.0.2 vs
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6.0.6) — libc/libc++/linker/JS-glue all moved with it. That skew is inseparable
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from the backend switch (strict-JSPI needs emscripten 6); every number below is
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"the shipped asyncify build vs the shipped JSPI build", not a pure
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suspension-mechanism isolate. What IS matched: same KiCad commit (`4bfed3f1`),
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wxWidgets 3.3.1, EH flags (`-fwasm-exceptions -sSUPPORT_LONGJMP=wasm
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-sWASM_LEGACY_EXCEPTIONS=1`), mimalloc, memory config (256 MB initial / 4 GB
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max), **DEBUG mode on both** (TU `-g -O1`, link `-O1 -g -gseparate-dwarf` — the
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default), docker caps 10 CPU / 32 GB, `-j 10`, `BINARYEN_CORES=8`,
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`HOIST_KEEP_NAMES` unset, runs serialized on an idle machine.
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Machine: Apple M4 Max, 16 cores, 64 GB; Docker Desktop VM 12 CPU / 28 GiB;
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macOS 26.5.2. Raw data: [`bench-data-2026-08/`](bench-data-2026-08/).
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## TL;DR
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| Metric | Asyncify | JSPI | Δ |
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|---|---|---|---|
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| Editor wasm, raw | 113.1 MB | 94.1 MB | **−17 %** |
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| Editor wasm, gzip −9 | 36.7 MB | 18.6 MB | **−49 %** |
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| Editor wasm, brotli | 24.5 MB | 13.5 MB | **−45 %** |
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| Post-link tail (per build!) | 63.4 s, 6.1 GB RSS | 1.6 s, 49 MB RSS | **−97 %** |
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| Clean rebuild (warm ccache) | 165 s | 95 s | **−42 %** |
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| Cold load (median of 5) | 2 576 ms | 1 538 ms | **−40 %** |
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| Open vme-wren (27.7 MB board) | 6 465 ms | 3 551 ms | **−45 %** |
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| Real redraws/s @1× (vme-wren) | 7.8 | 9.4 | **+21 %** |
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| Real redraws/s @4× throttle | 3.1 | 5.2 | **+68 %** |
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| Wasm heap after big-board open | 962 MB | 802 MB | **−17 %** |
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| Jetson 80.9 MB board open | 14.6 s, peak 1.90 GB | 8.6 s, peak 1.73 GB | **−41 %** |
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The asyncify tax was real on every axis: bytes (instrumented code also
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compresses ~2× worse), build time (a mandatory 6-GB-RSS host pass per link),
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load (bigger download + more code to tier), compute (slower opens, fewer real
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frames — the gap *widens* under CPU throttle, the doc-12 signature of
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per-operation overhead rather than mere size), and memory.
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## 1. Build time
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Scenarios (identical commands both arms, run serially): **S1** no-change
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rebuild (`./docker/build.sh kicad_editor -j 10` twice, 2nd reported), **S2**
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clean editor rebuild with warm ccache (`--clean-kicad`, twice), **S3** clean
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rebuild with `CCACHE_DISABLE=1` (manual `compose exec`, compile cost only).
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Both trees exhibit an **mtime ping-pong** in the wx re-enter (a reconfigure
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regenerates files the next rsync restores → every other build pays a wx
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reconfigure). Numbers are therefore given per observed mode; phase splits from
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the `@KW@` markers.
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| Scenario | Asyncify | JSPI |
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|---|---|---|
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| S1 no-change, quiet mode | **175 s** (cfg 40 + link 40 + finalize 4 + **asyncify 58**) | **154 s** (cfg 56 + link 46, tail ≈0) |
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| S1 no-change, wx-churn mode | 427 s (wx 89 + cfg 132 + compile 124 + tail 63) | 379 s (first run after container recreate) |
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| S2 clean, warm ccache, quiet | **165 s** (1 819 TU in 29 s + tail 61) | **95 s** (1 819 TU in 26 s) |
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| S2 clean, wx-churn mode | 248 s | 122 s |
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| S3 clean, no ccache (kicad only) | **365 s** (cfg 154 + compile 211) | **304 s** (cfg 136 + compile 168) |
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| Container compile-only, steady | 91 s | — (contained in S2) |
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Reading: the container-side compile is broadly comparable (emscripten 6 is
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~15-20 % faster on the uncached compile); **the structural difference is the
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host tail** — asyncify pays 58-63 s *on every single link*, JSPI pays ~1.6 s.
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In the dev loop that is the difference between a ~2.5-minute and a ~4-minute
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edit-to-browser cycle (or 7 min when the wx churn mode hits, which the tail
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compounds).
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Note: A-S3's wall figure included a 453 s wx rebuild triggered by the bench's
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own `touch` of the wx build Makefile (used to pin the wx skip path) — excluded
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above; the kicad configure+compile figures are uncontaminated.
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## 2. Build memory
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- **Container peak** (cgroup v2 `memory.peak`, fresh cgroup per run): both arms
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18–24 GiB across all scenarios — dominated by the `-j 10` compile and the
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DWARF-heavy `wasm-ld` link, essentially backend-independent.
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- **Host post-link tail** (`/usr/bin/time -l`):
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- Asyncify: **63.4 s wall, 307 s user, peak RSS 6.09 GiB**
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(finalize ≈4 s + hoist+asyncify+`-O1` ≈58 s at `BINARYEN_CORES=8`).
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Historical logs show 59–154 s and one OOM-killed build (exit 137).
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- JSPI: **1.6 s wall, peak RSS 49 MB** (node env-shim patch).
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## 3. Bundle size
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Same-day builds, DEBUG mode, complete cold-load set
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(`kicad_editor.{wasm,js}`, `wx.js`, `wx-dom.js`, `images.tar.gz`):
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| | raw | gzip −9 | brotli |
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|---|---|---|---|
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| Asyncify wasm | 118 557 371 B (113.1 MB) | 36.7 MB | 24.5 MB |
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| JSPI wasm | 98 664 038 B (94.1 MB) | 18.6 MB | 13.5 MB |
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| Asyncify total set | 118.8 MB | 42.0 MB | 29.5 MB |
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| JSPI total set | 99.8 MB | 23.8 MB | 18.5 MB |
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The compressed delta (−49 % gzip) is much larger than the raw delta (−17 %):
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asyncify's spilled-locals/branch-table instrumentation is high-entropy. The
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over-the-wire cost of a cold editor load roughly **halves** under JSPI.
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Side note: separate DWARF is 2.27 GB vs 1.91 GB (−16 %); dev-tools-only fetch.
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Other apps (existing artifacts, not rebuilt today): pl_editor −19 %,
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gerbview −19 %, calculator −26 %, occ_service −1 % (never asyncified),
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ngspice_service 0 %.
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## 4. Runtime
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One harness for both arms: the jspi tree's Playwright 1.62.1 `perf` project
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(bundled Chromium, no JSPI-specific launch flags), `tests/kicad/
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pcbnew-large-perf.spec.ts`, artifact sets swapped in `tests/apps/kicad/` with
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sha256 recorded per row (jspi `6f03e62d…`, asyncify `6dab4931…`). The harness
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page seeds KiCad config for both settings versions (9.99 + 10.0) so the
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asyncify binary boots wizard-free. Local static server serves wasm gzipped
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(hence `transferSize` ≈ the gzip column above). Headless; per doc-12, headless
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FPS is a comparative indicator, not an absolute.
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**Cold load** (fresh context ×5, navigation → fully-ready editor):
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| | Asyncify | JSPI |
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| loadMs median (range) | 2 576 (2 521–2 629) | 1 538 (1 117–1 841) |
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| wasm fetch (gzipped wire) | ~990 ms / 32.1 MB | ~570 ms / 17.1 MB |
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| wasm heap at boot | 556.8 MB | 386.7 MB |
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CDP-attach sanity: loadMs with a CDP session pre-attached fell inside each
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arm's normal range (2 514 / 1 117 ms) — no tier-down artifact from the
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throttling channel.
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**Board open** (`Module.kicadOpenFile`, ×3 each):
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| Board | Asyncify | JSPI |
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|---|---|---|
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| demo (155 KB, 15 fp) | 467 ms | 358–698 ms (par — too small to discriminate) |
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| vme-wren (27.7 MB, 1 508 fp, 24 858 seg) | **6 465 ms** median, peak heap 962–1 183 MB | **3 551 ms** median, peak heap 802 MB |
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| jetson-agx-thor (80.9 MB, 1 125 fp) | loaded, **14 584 ms**, peak 1.90 GB | loaded, **8 620 ms**, peak 1.73 GB |
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Neither arm OOMs even on the 80.9 MB board — both stay well under the 4 GB cap.
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**Interaction FPS** on vme-wren (Lissajous pan + wheel zoom, 6 s × 2 reps;
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`rafFps` = main-thread rAF; `distinctFps` = distinct GAL glcanvas frames at a
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~30 Hz pixel-hash sampler — the honest "real redraws" number, since rAF keeps
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vsync-ticking when the GAL skips):
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| Throttle | Asyncify raf / distinct | JSPI raf / distinct |
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|---|---|---|
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| 1× | 44.5–49.1 / **7.8** | 51.9–55.7 / **9.2–9.6** |
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| 4× | 32.4–37.6 / **3.0–3.1** | 39.2–41.4 / **5.1–5.2** |
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| 6× | 34.3–39.9 / **2.8–4.1** | 34.3–41.8 / **3.3–5.3** |
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The distinct-frame gap grows from +21 % at 1× to +68 % at 4× — the same
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"advantage widens under throttle" signature doc-12 used to prove lower
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CPU-per-operation (as opposed to just a smaller module).
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2026-08-14 12:07:18 +02:00
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**FPS on jetson-agx-thor (80.9 MB)** — added 2026-08-14 pm: at this scale BOTH
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arms saturate outright and the backend difference disappears into noise
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(asyncify raf 2.1–5.3 / distinct 0.2–0.8; JSPI raf 1.9–5.0 / distinct
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0.1–0.7; post-FPS heap 1.90 vs 1.73 GB). With <1 real redraw/s the 6 s
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windows count 1–5 frames, i.e. quantization noise. Reading: suspension
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overhead is a per-event-loop-turn cost — once per-frame GAL/geometry work is
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hundreds of ms, it no longer discriminates. vme-wren (~27 MB) is the size
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class where the backend visibly matters for interaction; jetson is the
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"both need render-side optimization" regime.
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bench: JSPI vs asyncify A/B — harness + results
Adds pcbnew-large-perf.spec.ts (PERF_LARGE-gated: repeated cold loads,
vme-wren/jetson opens, rAF + distinct-glcanvas-frame FPS under throttle,
wasm/JS heap checkpoints), fetchIntoMemfs + openAndWait/sampleMemory/
measureFpsDetailed perf-utils, dual 9.99+10.0 config seeding in pcbnew.html
so foreign-branch builds boot wizard-free, and the full benchmark report +
raw data under docs/features/async/migration-evidence/.
Headlines: wasm 94 vs 113 MB raw (18.6 vs 36.7 MB gzip), post-link tail
1.6 s/49 MB vs 63 s/6.1 GB per build, cold load −40 %, 27.7 MB board open
−45 %, real redraws +68 % at 4× throttle, boot heap −31 %.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016X9eh1s5sTx1o9Em9KBuwR
2026-08-14 11:53:06 +02:00
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**Memory checkpoints** (wasm linear memory; Chromium `usedJSHeapSize` tracked
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alongside, differences <10 %): boot 557 vs 387 MB; after vme-wren open 962 vs
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802 MB; unchanged after the FPS sweep on both arms.
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## 5. Methodology notes & gotchas
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- Asyncify arm reused the warm `kicad-wasm-main` compose volume (62 GB); its
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branch-default `kicad-wasm-staging` volume is a cold stub — running without
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`COMPOSE_PROJECT_NAME=kicad-wasm-main` would have benchmarked a multi-hour
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cold dep build. The other session's tree was verified idle before/after and
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`git status` byte-identical.
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- Container `memory.peak` read from a per-run fresh cgroup (`compose stop`
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between runs, `KICAD_KEEP_CONTAINER=1` so the read happens before teardown),
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plus a 5 s `docker stats` sampler (CSV in bench-data).
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- The first S3 attempt died in wx's PCRE `aclocal` regen (manual `compose
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exec` skips build.sh's rsync, which perturbs the wx reconfigure check); fixed
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by pre-touching the wx build Makefile — which on arm A then triggered the wx
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rebuild noted in §1. Symmetric procedure both arms.
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- The jspi-arm FPS rows in the archived ndjson appear twice: the first pass
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sampled the static `#canvas` (distinct ≈ 0, marked SUPERSEDED); the glcanvas
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re-run is authoritative and matches what `perf-utils.measureFpsDetailed` now
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does. Arm A ran entirely with the fixed sampler.
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- Playwright clears `tests/test-results/` per invocation — it ate the arm B
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ndjson during the arm A run (reconstructed from the run logs, two timestamps
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approximate). The spec now writes to `tests/bench-results/` instead.
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- The live dev app at :3048 was kept on the JSPI build throughout (its
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`public/wasm` symlink pointed at a stash during the swap window) and
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verified serving the JSPI wasm afterwards.
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## 6. Reproduce
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```bash
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# build side (each arm, serialized; see §1 for scenario commands)
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KICAD_NO_MONITOR=1 KICAD_KEEP_CONTAINER=1 ./docker/build.sh kicad_editor -j 10
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# runtime side (from tests/, artifacts staged in tests/apps/kicad/)
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cp kicad/qa/data/pcbnew/vme-wren.kicad_pcb tests/apps/kicad/board/
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cp kicad/demos/jetson-agx-thor-baseboard/jetson-agx-thor-baseboard.kicad_pcb tests/apps/kicad/board/
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BENCH_ARM=<arm> PERF_LARGE=1 npx playwright test --project=perf pcbnew-large-perf.spec.ts --workers=1
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# → tests/bench-results/perf-bench-<arm>.ndjson
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```
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